a example of perceptron(Artifial Neural Network)

learning.m

function [w,flag] = learning(flag,w,omega,target )
%UNTITLED3 Summary of this function goes here
%   Detailed explanation goes here
    ita=1;
    result=(omega*w)>0;
    
    result=target-result;
    for i = 1 : 3
        if result(i) == 0 
            continue
        end
        flag=0;
        w=w+2*ita*result(i)*omega(i,:)'
    end

end

mainperceptron.m

omega1=[0,1;0,2;1,1];
omega2=[2,0;3,0;3,1];

plot(omega1(:,1),omega1(:,2),'r*');
hold on;
plot(omega2(:,1),omega2(:,2),'gx');

x0=[-1;-1;-1]

omega1=[x0,omega1];
omega2=[x0,omega2];
w=rand(3,1)

flag=0;

while flag==0 
    
    flag=1;
    [w,flag]=learning(flag,w,omega1,ones(3,1));
    [w,flag]=learning(flag,w,omega2,zeros(3,1));

end
x=0:4;
plot(x,w(1)/w(3)-x*w(2)/w(3))